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PGIM Jennison Better Future ETF

PJBFBATSPGIMEquity

$67.62Today:- (-)1Y +8.35%

As of Jul 17, 2026 close

Assets (AUM)
$11.44M
Expense ratio
0.59%
Dividend yield
0.23%
Holdings
40
52-week range
$53.63$71.21
Volume (live)
-
Avg. volume (3M)
-

PJBF ETF Historical Prices: PGIM Jennison Better Future ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

PJBF Historical Price Chart: Trends & Patterns

Visualize price movements and trading patterns with adjustable time periods and data intervals.

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PJBF Historical Price Data Table

Complete historical stock price data with OHLC prices, adjusted close, and daily trading volume. Filter by time interval and date range for detailed price history analysis.

Filter Historical Data

Active filters: 6 Months · Daily63 records
Showing 1-50 of 63
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PJBF historical price data table with daily, weekly, monthly, quarterly, and yearly trading intervals. Track Open, High, Low, Close, Adjusted Close prices, and trading volume to analyze price trends, technical patterns, and market activity for comprehensive price history analysis.
DateOpenHighLowCloseAdj CloseVolume
Jul 17, 202667.6267.6267.6267.6267.62N/A
Jul 16, 202667.6267.6267.6267.6267.62N/A
Jul 15, 202667.6267.6267.6267.6267.62N/A
Jul 14, 202667.6267.6267.6267.6267.62N/A
Jul 13, 202667.6767.6767.6767.6767.6711
Jul 10, 202667.5367.6267.5367.6267.62369
Jul 9, 202668.0468.0468.0468.0468.0419
Jul 8, 202667.0867.0867.0867.0867.0818
Jul 7, 202667.0567.0567.0567.0567.0512
Jul 6, 202668.8668.8668.8668.8668.86104
Jul 2, 202667.4267.4267.4267.4267.4215
Jul 1, 202668.9168.9168.9168.9168.9112
Jun 30, 202671.2171.2171.2171.2171.2122
Jun 29, 202669.3069.3069.3069.3069.29129
Jun 26, 202667.2267.2267.2267.2267.2210
Jun 25, 202668.3368.3368.3368.3368.33111
Jun 24, 202668.8068.8067.7267.7267.721.79K
Jun 23, 202668.4468.4468.4468.4468.44108
Jun 22, 202670.2470.4870.2170.4870.488.81K
Jun 18, 202670.8970.8970.8970.8970.89188
Jun 17, 202668.9468.9468.9468.9468.9411
Jun 16, 202669.0669.0669.0669.0669.065
Jun 15, 202669.4169.4169.4169.4169.4127
Jun 12, 202667.4267.4267.4267.4267.4226
Jun 11, 202666.5966.5966.5966.5966.598
Jun 10, 202664.4864.4864.4864.4864.4876
Jun 9, 202666.1766.1766.1766.1766.1795
Jun 8, 202666.5566.5566.5566.5566.559
Jun 5, 202666.1566.1566.1566.1566.1511
Jun 4, 202669.0569.0569.0569.0569.057
Jun 3, 202668.7468.7468.7468.7468.747
Jun 2, 202669.5869.5869.5869.5869.587
Jun 1, 202669.3269.3269.3269.3269.327
May 29, 202668.9368.9368.9368.9368.9343
May 28, 202669.0569.0569.0569.0569.0511
May 27, 202668.6468.6468.6468.6468.6415
May 26, 202668.6968.6968.6968.6968.696
May 22, 202667.8467.8467.8467.8467.848
May 21, 202667.9267.9267.9267.9267.918
May 20, 202667.0667.0667.0667.0667.066
May 19, 202665.5565.5565.5565.5565.557
May 18, 202666.1666.1666.1666.1666.164
May 15, 202667.3367.4366.8866.8866.88905
May 14, 202668.2868.6868.2868.6868.68104
May 13, 202667.8767.8767.8767.8767.8711
May 12, 202667.0667.0667.0667.0667.066
May 11, 202667.6367.6367.6367.6367.6375
May 8, 202667.6167.6167.6167.6167.616
May 7, 202667.7267.7267.7267.7267.7247
May 6, 202668.9468.9468.9468.9468.9415
Show:
of 63

Source: Daily exchange trading data. Data as of Jul 17, 2026. Data sources and methodology

Understanding Historical ETF Price Data & OHLC Metrics

Open Price
The price at which the ETF opened for trading at the start of the trading session.
High Price
The highest price at which the ETF traded during the trading session.
Low Price
The lowest price at which the ETF traded during the trading session.
Close Price
The final price when trading closed for the session.
Adjusted Close Price
The closing price adjusted for corporate actions such as dividends, stock splits, and rights offerings. Used for accurate long-term historical price analysis and return calculations.
Volume
The total number of shares traded during the session, indicating trading activity and liquidity.

Using Historical Prices for Technical Analysis

Traders and investors use historical price data to identify patterns, support and resistance levels, and price trends. By analyzing OHLC values across different intervals, you can spot key market signals.

Trading Ranges
High and Low prices reveal daily and weekly volatility patterns, helping identify potential breakout or consolidation zones.
Price Momentum
Close price changes across intervals indicate bullish or bearish activity and overall trend direction.
Volume Confirmation
Trading volume validates price movements and trend strength. High volume typically confirms significant price changes.
Long-term Trends
Monthly and yearly intervals reveal major price patterns and cycles, useful for position trading and portfolio analysis.

Frequently Asked Questions About PGIM Jennison Better Future ETF Historical Prices

What is OHLC data for PJBF?

OHLC stands for Open, High, Low, Close - the four key price points for PJBF during each trading period. Open is the first trade price, High is the maximum price reached, Low is the minimum price, and Close is the final trade price for the period.

What is adjusted close price for PJBF?

The adjusted close price for PJBF is the closing price modified to account for corporate actions like stock splits and dividend distributions. This provides accurate historical price comparison for long-term analysis.

How far back does PJBF price history go?

PJBF historical price data is available from the ETF's inception on Dec 13, 2023. Use the "Max" time period option to view all available historical data, or select specific periods like 1 year, 5 years, or 10 years.

What time intervals are available for PJBF data?

PJBF historical data is available in multiple intervals: daily (individual trading days), weekly (week-ending prices), monthly (month-end prices), quarterly (quarter-end prices), and yearly (year-end prices).

Why is trading volume important for PJBF?

Trading volume for PJBF indicates market activity and liquidity. High volume often confirms price trends, while low volume may suggest weak price movements. Volume analysis helps validate technical patterns and identify potential reversals.